Journal ArticleDOI
Reality mining of animal social systems.
Jens Krause,Stefan Krause,Robert Arlinghaus,Robert Arlinghaus,Ioannis Psorakis,Stephen J. Roberts,Christian Rutz +6 more
TLDR
Important issues concerning the collection of data on the social dynamics of almost entire populations of individuals, and their processing and analysis, are reviewed to identify the most promising approaches in the emerging field of 'reality mining'.Abstract:
The increasing miniaturisation of animal-tracking technology has made it possible to gather exceptionally detailed machine-sensed data on the social dynamics of almost entire populations of individuals, in both terrestrial and aquatic study systems. Here, we review important issues concerning the collection of such data, and their processing and analysis, to identify the most promising approaches in the emerging field of 'reality mining'. Automated technologies can provide data sensing at time intervals small enough to close the gap between social patterns and their underlying processes, providing insights into how social structures arise and change dynamically over different timescales. Especially in conjunction with experimental manipulations, reality mining promises significant advances in basic and applied research on animal social systems.read more
Citations
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Journal ArticleDOI
Dynamic, spatial models of parasite transmission in wildlife: Their structure, applications and remaining challenges
TL;DR: The goal was to review studies that have utilized dynamic, spatial models to answer questions about pathogen transmission in wildlife and identify key gaps in the literature and discuss challenges and future directions in the context of unprecedented human-mediated environmental change.
Journal ArticleDOI
Applying network methods to acoustic telemetry data: Modeling the movements of tropical marine fishes
John T. Finn,Jacob W. Brownscombe,Christopher R. Haak,Steven J. Cooke,R. Cormier,Tyler O. Gagne,Andy J. Danylchuk +6 more
TL;DR: Of the six community detection algorithms used, Multilevel, Fast-Greedy, and Walk-Trap performed best, with similar module partitions and modularity scores, and all three produced modules (groups) that appear to reflect working hypotheses related to the coastal bathymetry, habitat types, and associated movement ecology of the tagged species.
Journal ArticleDOI
Integrating social behaviour, demography and disease dynamics in network models: applications to disease management in declining wildlife populations.
Matthew J. Silk,David J. Hodgson,Carly Rozins,Carly Rozins,Darren P. Croft,Richard J. Delahay,Mike Boots,Mike Boots,Robbie A. McDonald +8 more
TL;DR: The most recent developments in epidemiological research from a demographic and social network perspective are integrated and the latest developments in social network modelling for wildlife disease are synthesized to explore their applications to disease management in populations in decline and at risk of extinction.
Journal ArticleDOI
Evaluating Contributions of Recent Tracking-Based Animal Movement Ecology to Conservation Management
Todd E. Katzner,Raphaël Arlettaz +1 more
TL;DR: The literature review quantifies the limited extent to which research in the field of movement ecology is designed to solve specific conservation problems, but also the fact that such studies are slowly becoming more prevalent and how barriers that limit application of these principles are likely due to constraints imposed by the types of data used commonly in theField.
Journal ArticleDOI
An overview of behavioral, physiological, and environmental sensors used in animal biotelemetry and biologging studies
TL;DR: A reader-friendly description of the many sensors available to monitor the behavior, physiology, and environment of both terrestrial and aquatic animals and one or two classic examples of how they have been used to provide insights into the biology of species from a diversity of taxa are presented.
References
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TL;DR: This work characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and the ties, edges, or links that connect them.
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TL;DR: This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas.
Journal ArticleDOI
Complex networks: Structure and dynamics
TL;DR: The major concepts and results recently achieved in the study of the structure and dynamics of complex networks are reviewed, and the relevant applications of these ideas in many different disciplines are summarized, ranging from nonlinear science to biology, from statistical mechanics to medicine and engineering.